Nasim Sobhani

National Iranian Oil Company (Iran)

Papers

2

Total Citations

5

H-Index

2

About

Nasim Sobhani’s research lies at the intersection of robotics, intelligent control systems, and medical automation, with a particular focus on dental surgery. Her work addresses the critical challenge of designing precise, adaptive controllers for multi-degree-of-freedom robotic manipulators used in dental procedures. In her most cited paper (2016, 3 citations), Sobhani developed a PID-based minimum rule base fuzzy controller for three-dimensional joint dental robot manipulators, tackling nonlinearity, multi-input multi-output complexity, and system uncertainty. Her earlier work (2015, 2 citations) explored active intelligent joint controllers to enhance precision, quality, and safety in surgical robotics, highlighting the untapped potential of robotics in dentistry. Though her citation counts are modest, Sobhani’s contributions are notable for pioneering the application of intelligent control theory to a highly specialized and challenging domain—dental automation. Her research underscores a forward-looking vision: bringing the benefits of robotic precision, already established in other surgical fields, into the demanding environment of oral surgery. For students and researchers interested in medical robotics, fuzzy logic control, or adaptive systems, Sobhani’s work offers a focused case study in translating control theory into practical, high-stakes clinical tools.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on PID-Based Minimum Rule Base Fuzzy Controller in Active Joint Dental Automation
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Iranian Oil Company (Iran)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago